Comfort Systems Usa (FIX) Receivables (2010 - 2017)
Comfort Systems Usa's Receivables was $412.98 million in Q4 2017, up 18.6% from $348.21 million a year earlier but down 3.9% from the prior quarter.
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Analysis
Comfort Systems Usa (FIX) Receivables (2010 - 2017) Analysis & Trends
From Q4 2010 onward, Comfort Systems Usa has reported Receivables for 28 quarters.
- Receivables has now increased for five consecutive years, with a five-year compound annual growth rate of 7.8% (FY2012 to FY2017).
- In earlier years, Receivables was $348.21 million in FY2016 (+4.4%), $333.39 million in FY2015 (+0.7%), $331.2 million in FY2014 (+12.0%) and $295.59 million in FY2013 (+4.4%).
- Quarterly Receivables has moved between $295.59 million (Q4 2013) and $432.19 million (Q2 2017) over five years.
- Compared with a year earlier, Receivables has increased for three straight quarters, with growth averaging 7.9% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q4 2017 (growth of 18.6%); the worst was Q1 2014 (a decline of 3.1%).
- Per Business Quant data, FIX's Receivables in the three quarters before Q4 2017 was $429.83 million (Q3 2017), $432.19 million (Q2 2017) and $333.05 million (Q1 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.06 Bn | 96.80 Bn | 2.26 Bn | 4.23 Bn |
| 2 | Johnson Controls International | 94.64 Bn | 92.40 Bn | 2.47 Bn | 9.55 Bn |
| 3 | Comfort Systems Usa | 60.88 Bn | 56.13 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.43 Bn | 40.06 Bn | 1.94 Bn | 3.70 Bn |
| 5 | Otis Worldwide | 24.39 Bn | 20.99 Bn | 1.14 Bn | 4.81 Bn |
| 6 | James Hardie Industries | 14.50 Bn | 13.23 Bn | 548.70 Mn | 499.60 Mn |
| 7 | Masco | 13.48 Bn | 11.58 Bn | 868.00 Mn | 1.34 Bn |
| 8 | Allegion | 13.12 Bn | 11.83 Bn | 517.50 Mn | 559.70 Mn |
| 9 | Carlisle Companies | 13.11 Bn | 9.46 Bn | 568.40 Mn | 955.90 Mn |
| 10 | Lennox International | 12.31 Bn | 12.11 Bn | 539.50 Mn | 918.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 412.98 Mn |
| Sep 30, 2017 | 429.83 Mn |
| Jun 30, 2017 | 432.19 Mn |
| Mar 31, 2017 | 333.05 Mn |
| Dec 31, 2016 | 348.21 Mn |
| Sep 30, 2016 | 367.35 Mn |
| Jun 30, 2016 | 369.03 Mn |
| Mar 31, 2016 | 340.46 Mn |
| Dec 31, 2015 | 333.39 Mn |
| Sep 30, 2015 | 347.82 Mn |
| Jun 30, 2015 | 362.91 Mn |
| Mar 31, 2015 | 338.16 Mn |
| Dec 31, 2014 | 331.20 Mn |
| Sep 30, 2014 | 322.09 Mn |
| Jun 30, 2014 | 328.94 Mn |
| Mar 31, 2014 | 295.77 Mn |
| Dec 31, 2013 | 295.59 Mn |
| Sep 30, 2013 | 300.81 Mn |
| Jun 30, 2013 | 321.14 Mn |
| Mar 31, 2013 | 305.34 Mn |
API Access
Comfort Systems Usa Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=FIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "FIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=FIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();